{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Tce3stUlHN0L"
      },
      "source": [
        "##### Copyright 2025 Google LLC."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "cellView": "form",
        "id": "tuOe1ymfHZPu"
      },
      "outputs": [],
      "source": [
        "#@title Licensed under the Apache License, Version 2.0 (the \"License\");\n",
        "# you may not use this file except in compliance with the License.\n",
        "# You may obtain a copy of the License at\n",
        "#\n",
        "# https://www.apache.org/licenses/LICENSE-2.0\n",
        "#\n",
        "# Unless required by applicable law or agreed to in writing, software\n",
        "# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
        "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
        "# See the License for the specific language governing permissions and\n",
        "# limitations under the License."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7a7f6e5e64a9"
      },
      "source": [
        "# Gemini API: Get started with image generation - REST API"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "a3a5d37f7459"
      },
      "source": [
        "<a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/cookbook/blob/main/quickstarts/Get_started_imagen_rest.ipynb\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" height=30/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qFdPvlXBOdUN"
      },
      "source": [
        "The Imagen models are Google's highest quality text-to-image models, featuring a number of new and improved capabilities. Imagen models can do the following:\n",
        "\n",
        "* Generate images with fine detail, rich lighting, and few distracting artifact\n",
        "* Understand prompts written in natural language\n",
        "* Generate images in a wide range of formats and styles\n",
        "* Render text effectively\n",
        "\n",
        "You can choose from a range of available Imagen models:\n",
        "* Imagen 4 (`imagen-4.0-generate-001`) is the new stadard model you should use to generate.\n",
        "* Imagen 4 Ultra (`imagen-4.0-ultra-generate-001`) is the best Imagen model, generating even finer images and is especially good at generating images with text. Note that it can only generate one image at a time.\n",
        "* Imagen 4 Fast (`imagen-4.0-fast-generate-001`) is a faster model and generates at a lower cost compared to Imagen 4 and Ultra. See the [pricing page](https://ai.google.dev/gemini-api/docs/pricing#imagen-4) for details.\n",
        "* Imagen 3 (`imagen-3.0-generate-002`) is the previous generation model. It's still available in case you need to rerun old prompts, but it is recommended to use the 4th generation models now.\n",
        "\n",
        "This notebook is using the [REST API](https://ai.google.dev/api/generate-content). For the Python SDK, check out the [Get Started with Imagen](../quickstarts/Get_started_imagen.ipynb) Python guide."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-1g9-gZMJxN_"
      },
      "source": [
        "<!-- Warning Badge -->\n",
        "<table>\n",
        "  <tr>\n",
        "    <!-- Emoji -->\n",
        "    <td bgcolor=\"#f5949e\">\n",
        "      <font size=30>⚠️</font>\n",
        "    </td>\n",
        "    <!-- Text Content Cell -->\n",
        "    <td bgcolor=\"#f5949e\">\n",
        "      <h3><font color=black>Image generation is a paid-only feature and won't work if you are on the free tier. Check the <a href=\"https://ai.google.dev/pricing#imagen-4\"><font color='#217bfe'>pricing</font></a> page for more details.</font></h3>\n",
        "    </td>\n",
        "  </tr>\n",
        "</table>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MUXex9ctTuDB"
      },
      "source": [
        "## Set up your API key\n",
        "\n",
        "To run the following cell, your API key must be stored it in a Colab Secret named `GOOGLE_API_KEY`."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "AQJjzmYgH3sX"
      },
      "outputs": [],
      "source": [
        "import os"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "wltbMJLIIXGk"
      },
      "outputs": [],
      "source": [
        "from google.colab import userdata\n",
        "\n",
        "GOOGLE_API_KEY = userdata.get(\"GOOGLE_API_KEY\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qjM1qLUGWF4l"
      },
      "source": [
        "## Send Imagen request\n",
        "In the next code block, you can change the model_name, prompt, and a bunch of parameters. Then the request will be sent by curl.\n",
        "\n",
        "The model is trained on long captions and will provide best results for longer and more descriptive prompts. Short prompts may result in low adherence and a more random output.\n",
        "\n",
        "Check the [prompt guide](https://ai.google.dev/gemini-api/docs/imagen-prompt-guide) for more advices.\n",
        "\n",
        "The optional parameters are:\n",
        "* *sampleCount*: How many images will be generated. Default is 4, valid values are 1-4.\n",
        "* *aspectRatio*: aspect ratio of the images produced. Supported values are 1:1, 3:4, 4:3, 16:9, 9:16. Default is 1:1.\n",
        "* *personGeneration*: Lets the model generate images with adults. Kids are always blocked. Supported values are \"dont_allow\" and \"allow_adult\". Default is \"allow_adult\".\n",
        "* *imageSize*: The output resolution of the image, either `1k` (default) or `2k`, for supported models.\n",
        "\n",
        "A non-visible digital [SynthID](https://deepmind.google/technologies/synthid/) watermark is always added to generated images."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "o9AsG1mxWH0w"
      },
      "outputs": [],
      "source": [
        "model_name = \"imagen-4.0-generate-001\" # @param [\"imagen-3.0-generate-002\",\"imagen-4.0-generate-001\",\"imagen-4.0-ultra-generate-001\"] {\"allow-input\":true, isTemplate:true}\n",
        "prompt = \"A hairy bunny in my kitchen playing with a tomato.\" # @param {type:\"string\"}\n",
        "sampleCount = 1 # @param {type:\"slider\", min:1, max:4, step:1}\n",
        "aspectRatio = \"1:1\" # @param [\"1:1\", \"3:4\", \"4:3\", \"16:9\", \"9:16\"]\n",
        "personGeneration = \"allow_adult\" # @param [\"dont_allow\", \"allow_adult\"]\n",
        "sampleImageSize = \"1k\" # @param [\"1k\", \"2k\"]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "GeFk6cR7eKik"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Request successful!\n",
            "Response: {'predictions': [{'bytesBase64Encoded': 'iVBORw0KGgoAAAANSUhEUgAABAAAAAQACAIAAADwf7zUAAAgAElEQVR4nMy9W5IsSY4spgrAPPJUz8yVe39IfnAZXAb3v4grJIUi', 'mimeType': 'image/png'}]}\n"
          ]
        }
      ],
      "source": [
        "import requests\n",
        "\n",
        "url = \"https://generativelanguage.googleapis.com/v1beta/models/\"+model_name+\":predict\"\n",
        "\n",
        "headers = {\n",
        "    'Content-Type': 'application/json',\n",
        "}\n",
        "\n",
        "data = {\n",
        "    \"instances\": [\n",
        "        {\n",
        "            \"prompt\": prompt\n",
        "        }\n",
        "    ],\n",
        "    \"parameters\": {\n",
        "        \"sampleCount\": sampleCount,\n",
        "        \"personGeneration\": personGeneration,\n",
        "        \"aspectRatio\": aspectRatio,\n",
        "        \"sampleImageSize\": sampleImageSize,\n",
        "    }\n",
        "}\n",
        "\n",
        "response = requests.post(\n",
        "    f\"{url}?key={GOOGLE_API_KEY}\",\n",
        "    headers=headers,\n",
        "    json=data\n",
        ")\n",
        "\n",
        "# Check for errors\n",
        "if response.status_code != 200:\n",
        "    print(f\"Request failed with status code: {response.status_code}\")\n",
        "    print(\"Response:\", response.text)\n",
        "else:\n",
        "    print(\"Request successful!\")\n",
        "\n",
        "    # Since the response contains the image in bytes64 it can be very long,\n",
        "    # let's reduce it's length for the sake of this notebook's size\n",
        "    trimmed_response = response.json()\n",
        "    trimmed_response[\"predictions\"][0][\"bytesBase64Encoded\"] = trimmed_response[\"predictions\"][0][\"bytesBase64Encoded\"][:100]\n",
        "\n",
        "    print(\"Response:\", trimmed_response)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xmFYjvAumNOQ"
      },
      "source": [
        "## Examine the metadata in the response"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "uTtQQaF3mNEF"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Number of predictions: 1\n",
            "Positive prompt:\n",
            "  mimeType: image/png\n"
          ]
        }
      ],
      "source": [
        "# Check the output length\n",
        "print(\"Number of predictions: \"+str(len(response.json()['predictions'])))\n",
        "\n",
        "for ind, prediction in enumerate(response.json()['predictions']):\n",
        "  if ind == len(response.json()['predictions']) - 1:\n",
        "    print(\"Positive prompt:\")\n",
        "  else:\n",
        "    print(\"Index: \"+str(ind))\n",
        "  # Check the output type\n",
        "  if \"mimeType\" in prediction:\n",
        "    print(\"  mimeType:\",prediction[\"mimeType\"])\n",
        "  # Check rai reason\n",
        "  if \"raiFilteredReason\" in prediction:\n",
        "    print(\"  raiFilteredReason:\",prediction[\"raiFilteredReason\"])\n",
        "  # Check safety attributes\n",
        "  if \"safetyAttributes\" in prediction:\n",
        "    print(\"  safetyAttributes:\",prediction[\"safetyAttributes\"])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6XqSWrcqWm-A"
      },
      "source": [
        "## Check the generated images"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "4XZt08tSWmqb"
      },
      "outputs": [
        {
          "data": {
            "image/jpeg": 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",
            "text/plain": [
              "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=1024x1024>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "import base64\n",
        "import io\n",
        "from PIL import Image\n",
        "\n",
        "for prediction in response.json()['predictions']:\n",
        "  if \"bytesBase64Encoded\" in prediction:\n",
        "    decoded_bytes = base64.b64decode(prediction[\"bytesBase64Encoded\"])\n",
        "    # Create an in-memory file-like object from the decoded bytes\n",
        "    image_buffer = io.BytesIO(decoded_bytes)\n",
        "    # Load the image using PIL\n",
        "    display(img := Image.open(image_buffer))\n",
        "    print(img.size)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xFl3Hlc8NPdr"
      },
      "source": [
        "## Next Steps\n",
        "### Useful documentation references:\n",
        "\n",
        "To improve your prompting skills, check the [prompt guide](https://ai.google.dev/gemini-api/docs/imagen-prompt-guide) for great advices on creating your prompts.\n",
        "\n",
        "### Check those cool Imagen examples:\n",
        "These examples are in Python but they will still give you ideas on how to use Imagen in creative ways:\n",
        "*  [Illustrate a book](../examples/Book_illustration.ipynb): Use Gemini and Imagen to create illustration for an open-source book\n",
        "\n",
        "### Continue your discovery of the Gemini API\n",
        "\n",
        "Gemini is not only good at generating images, but also at understanding them. Check the [Spatial understanding](./Spatial_understanding.ipynb) guide for an introduction on those capabilities, and the [Video understanding](./Video_understanding.ipynb) one for video examples.\n"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "collapsed_sections": [
        "Tce3stUlHN0L"
      ],
      "name": "Get_started_imagen_rest.ipynb",
      "toc_visible": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}
